Abstract
Abstract. Peru’s abundant natural resources and friendly trade policies have made the country a major economic player in both South America and the global community. Consequently, exports are playing an increasingly important role in Peru’s national economy. Indeed, growing from 13.1% as of 1994, exports now contribute approximately 21% of the GDP of Peru as of 2015.Given Peru’s growing global influence, the time is ripe for a thorough analysis of the most important factors governing its export performance. Thus, within the framework of the augmented gravity model of trade, this paper examines Peru’s export performance and attempts to identify the dominant economic factors that should be further developed to increase the value of exports. The analysis was conducted from three different aspects: (1) general economic parameters’ effect on Peru’s export value, (2) more specific analysis into a major specific trade good, copper, and (3) the impact that regional trade agreements have had on Peru’s export performance. Our panel data analysis results for each dataset revealed interesting economic trends and were consistent with the theoretical expectations of the gravity model: namely positive coefficients for economic size and negative coefficients for distance. This report’s results can be a reference for the proper direction of Peruvian economic policy so as to enhance economic growth in a sustainable direction.
Keywords. Gravity model, Fixed effect, Random effect, Instrumental variables GMM regression, Exports, Copper, Panel data, Peru, Regional trade agreements.
JEL. F10, F12, F40, F41.References
Babri, S., Jørnsten, K., & Viertel, M. (2015). Application of gravity models with a fixed component in the international trade flows of coal, iron ore and crude oil. Maritime Economics & Logistics, doi. 10.1057/mel.2015.27
Baum, C.F. (2003). Instrumental variables and GMM: estimation and testing. Stata Journal, 3(1), 1-31.
Bergstrand, J.H. (1985). The gravity equation in international trade: some microeconomic foundations and empirical evidence: Some microeconomic foundations and empirical evidence. Review of Economics & Statistics, 67(3), 474-81. doi. 10.2307/1925976
Blinder, A.S. (2008). Keynesian Economics, In D.R. Henderson (Eds.). Concise Encyclopedia of Economics (2nd ed.). Indianapolis: Library of Economics and Liberty.
Carrillotudela, C. & Li, C.A. (2002). Trade blocks and the gravity model: evidence from Latin American countries. Working Paper. University of Essex, Department of Economics, Economics Discussion Papers, No.542.
Chow, P. & Yochanan, M.K. (1999). A test of the linder hypothesis in Pacific NICTrade 1965-1990. Applied Economics, 31(2), 175-182. doi. 10.1080/000368499324408
Croissant, Y., & Millo, G. (2008). Panel data econometrics in r: the plm package. Journal of Statistical Software, 27(2), 1-43.
Dee, P., Geisler, C., & Watts, G. (1996). The impact of APEC's free trade commitment. [Retrieved from].
Deluna, R.J. (2013). Trade performance and potential of the Philippines: an application of stochastic frontier gravity model. MPRA Paper, No.51677. [Retrieved from].
Frankel, J.A., Stein, E., & Wei, S.J. (1997). Regional Trading Blocs in the World Economic System. Peterson Institute for International Economics. [Retrieved from].
Group, F. (2015). World Copper. [Retrieved from].
Hernandez, K.R. (2016). An Augmented Gravity Model: Factors That Affect U.S. Sugar Imports From Western Hemisphere Countries. Louisiana State University.
Hsiao, C. (2014). Analysis of Panel Data (3rd ed.), Cambrige University Press.
Janovskis, V. (2016). Fishy Trade: A study on fishmeal production in Peru. Lund University. [Retrieved from].
Karamuriro, H.T., & Karukuza, W.N. (2015). Determinants of Uganda's export performance; a gravity model approach. International Journal of Economics & Business Research, 4(2), 45-54. doi. 10.11648/j.ijber.20150402.14
Kosnan, S.S.A., & Ismail, N.W. (2012). Demand factors for international tourism in Malaysia: 1998-2009, Prosiding Perkem VII, Jilid 1, pp.44-50.
Nello, S.S. (2012). The European Union: Economics, Policies and History, McGraw-Hill Education.
Pesaran, M.H. (2015). Time Series and Panel Data Econometrics. Oxford University Press.
Pöyhönen, P. (1963). A tentative model or the volume of trade between countries. WeltwirtschaftlichesArchiv, 90, 93-100.
Ruta, M., & Venables, A.J. (2012). International trade in natural resources: practice and policy. Resource Economics, 4(4), 331-352. doi. 10.1146/annurev-resource-110811-114526
Santos, A., Werner, A. (2015). Peru, Staying the Course of Economic Success. IMF Press.
Tian, X., & Yu, X. (2011). The quality gravity model with an application to Chinese imported fruits. Courant Research Centre: Poverty, Equity and Growth, Discussion Papers, No. 67. [Retrieved from].
Tinbergen, J. (1966). Shaping the world economy: suggestions for an international economic policy. Revue Économique, 76(301), 840-840.
Xu, S. (1982). The problems in Peru’s economic development and the strategies of the government.徐世澄. (1982). 秘鲁经济发展的问题和政府对策. 拉丁美洲研究(3), 45-50.
Velasquez, M.E.B., & Oh, J. (2013). What determines international tourist arrivals to Peru? a gravity approach. International Area Studies Review,16(4), 357-369. doi. 10.1177/2233865913505103
World Development Indicator (2015), 2016 The World Bank Group, All Rights. [Reserved from].
World Trade Organization, (2001). Trade policy review - Peru 2000.
World Trade Organization (2005). Trade policy review - Peru 2014.
World Trade Organization (2008). Trade policy review - Peru 2007. Bernan Pr.
